The proceedings contain 22 papers. The topics discussed include: selecting features for breast cancer analysis and prediction;understanding students’ usage of smartphone applications for learning purposes;costs manag...
ISBN:
(纸本)9781728163628
The proceedings contain 22 papers. The topics discussed include: selecting features for breast cancer analysis and prediction;understanding students’ usage of smartphone applications for learning purposes;costs management of research and development in the factories of the future using virtual reality;every anonymization begins with k: a game-theoretic approach for optimized k selection in k-anonymization;news articles and facts modeling: linked data or linked fact;predictive learning analytics in higher education: factors, methods and challenges;institutional recommendation and ranking system based on integrated datasets and analysis;data mining computing of predicting NBA 2019- 2020 regular season MVP winner;and improving health care by help of Internet of things and bigdata analytics and cloud computing.
The proceedings contain 57 papers. The special focus in this conference is on Machine Learning, advances in computing,Renewable Energy and communication. The topics include: Technoeconomic Feasibility and Sensitivity ...
ISBN:
(纸本)9789811623530
The proceedings contain 57 papers. The special focus in this conference is on Machine Learning, advances in computing,Renewable Energy and communication. The topics include: Technoeconomic Feasibility and Sensitivity Analysis of Off-Grid Hybrid Energy System;Analysis of the Impact of AC Faults and DC Faults on the HVDC Transmission Line;improving QoS of Cloudlet Scheduling via Effective Particle Swarm Model;Performance Evaluation of HHO Optimized Model Predictive Controller for AVR System and Its Comparison with Conventional Controllers;Squared Error Autocorrelation-Based VSS-LMS Control Algorithm for Grid-Integrated Solar Photovoltaic System;optimal Power Flow and Its Vindication in Deregulated Power Sector;distribution Automation and Energy Management System in Smart Grid;optimal Planning of Green Hybrid Microgrid in Power Industry;Open Access Same-Time Information System (OASIS) of New York;distribution Expansion Planning in a Deregulated Environment;open-Access Same-Time Information System: Extended to Indian Power Market;Enhancing Security Using Quantum computing (ESUQC);deviation Settlement Mechanism and Its Implementation in Indian Electricity Grid;integration of Battery Charging and Swapping Using Metaheuristics: A Review;A Study of iOS Machine Learning and Artificial Intelligence Frameworks and Libraries for Cotton Plant Disease Detection;effect of Loss Functions on Language Models in Question Answering-Based Generative Chat-Bots;Shunt Active Power Filter Based on Synchronous Reference Frame Theory Connected to SPV for Power Quality Enrichment;Modeling and Implementation of Statechart for MPPT Control of Photovoltaic System in FPGA;The Economic Viability of Battery Storage: Revenue from Arbitrage Opportunity in Indian Electricity Exchange (IEX) and NYISO;density-Based Remote Override Traffic Control System.
The proceedings contain 76 papers. The topics discussed include: banana leaf disease detection using K-means clustering and feature extraction techniques;discrimination of noise channels on the basis of quantum memory...
ISBN:
(纸本)9781728197852
The proceedings contain 76 papers. The topics discussed include: banana leaf disease detection using K-means clustering and feature extraction techniques;discrimination of noise channels on the basis of quantum memory;power quality improvement in hybrid photovoltaic and wind power system using 3 levels inverter;spectral features based speech recognition for speech interfacing to control PC Windows;a review on model order reduction techniques for reducing order of industrial process transfer function model;modeling & simulation of grid tied phototvoltaic/wind electric power systems;a review of reconstruction algorithms in compressive sensing;and performance improvement of wind turbine control using fractional order PID controller with PSO optimized gains.
The proceedings contain 200 papers. The topics discussed include: autonomous disinfection robot;automatic waste segregating and self-sanitizing dustbin;efficient viewshed analysis as QGIS plugin;comparison of pretrain...
ISBN:
(纸本)9781728183374
The proceedings contain 200 papers. The topics discussed include: autonomous disinfection robot;automatic waste segregating and self-sanitizing dustbin;efficient viewshed analysis as QGIS plugin;comparison of pretrained embeddings to identify hate speech in Indian code-mixed text;a hybrid approach for image denoising using explicit guided filter and collaborative wiener filter;bitcoin price prediction using deep learning and real time deployment;CNN based automated vehicle registration number plate recognition system;predicting depression from routine survey data using machine learning;sensor based crop protection system with IOT monitored automatic irrigation;and mortality prediction of covid-19 pandemic using artificial intelligence.
The proceedings contain 60 papers. The topics discussed include: a design of low power and high speed encoder and decoder circuits by re-evaluating high speed design values;classification of knitted fabric defect dete...
ISBN:
(纸本)9781728132501
The proceedings contain 60 papers. The topics discussed include: a design of low power and high speed encoder and decoder circuits by re-evaluating high speed design values;classification of knitted fabric defect detection using artificial neural networks;trigger event and hate content: insights from twitter analytics;a novel sensorless hybrid MPPT method based on FOCV measurement and PO MPPT technique for solar PV applications;current-feedback instrumentation amplifier for biopotential signal acquisition applications;automated yield estimation of fruits using multilayer convolution neural networks;analysis of multi cluster projection on high dimensional data based on forest scenario;intelligent vehicular networks;and extracting information from JSON database as simple as extracting in SQL using JSONiq.
Clustering, an unsupervised machine learning technique with numerous practical applications, has received a great deal of research attention. Along with deterministic and probabilistic approaches, fuzzy C-means cluste...
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Mobile edge computing systems provide computational resources at the network access point that can be shared among the attached devices. Effective utilization of these resources requires careful selection of the offlo...
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ISBN:
(纸本)9798350344868;9798350344851
Mobile edge computing systems provide computational resources at the network access point that can be shared among the attached devices. Effective utilization of these resources requires careful selection of the offloading devices and joint allocation of the computing and communication resources. We develop an efficient resource allocation technique that exploits the temporal structure of computation offloading. Our initial formulation is combinatoric, but insight into the energy required to communicate a given message reveals effective heuristics for the allocation of computing resources, and a reduced-dimension convex formulation for the communication resources. Our numerical results demonstrate that the proposed approach provides performance that is close to that of the jointly optimal solution.
This study presents a compact ultra-wideband UWB SISO antenna designed for UWB communication systems. The primary objective is to develop a compact antenna system (20 ~mm × 15 ~mm) capable of operation across the...
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Internet-of-Things(IoT)-based edge computing in smart factories, smart grid, agriculture, constructions and autonomous vehicles include service-oriented gateways that connect with the cloud, perform machine-to-machine...
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Internet-of-Things(IoT)-based edge computing in smart factories, smart grid, agriculture, constructions and autonomous vehicles include service-oriented gateways that connect with the cloud, perform machine-to-machine communication, often transmiting large amount data up and down the network, performing time-sensitive processing and involving intelligent local decision-making. In view of a sharp increase in cyberattacks today targeting edge computing, these gateways need to provide digital signing and key negotiation for ensuring reliable data sources, trusted applications and authentic devices and connections. In contrast to common perception, we show that post-quantum cryptography methods do not necessitate extensive modification to adopt in such environments;further, the cryptography algorithm's hardness is preserved while fulfilling the IoT device's resource limitations. In particular, we demonstrate an efficient method and an implementation on a 32-bit ARMCortex-M4, 64KB memory microcontroller, based on post-quantum key encapsulation mechanisms (KEMs), for secure communication and authentication in an industrial IoT environment.
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